Sampling Distributions Associated with Spatial Autocorrelation

Daniel A. Griffith
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Daniel A. Griffith: Syracuse University

Chapter 3 in Spatial Autocorrelation and Spatial Filtering, 2003, pp 65-90 from Springer

Abstract: Abstract A sampling distribution is the frequency distribution of some statistic constructed by taking all possible samples of a given size from a parent population. Sampling distributions of general interest most often are for model parameter estimates, means, variances, and correlation coefficients. All of these distributions are affected by nonzero spatial autocorrelation. Sampling distributions of particular interest in spatial analysis are those for MC, GR, and ρ̂, the autocorrelation parameter of a spatial autoregressive model. The key to establishing a sampling distribution is stipulating what constitutes a sample. Sampling distributions can be explored through use of simulation techniques, resampling procedures, and algebraic analysis.

Keywords: Markov Chain Monte Carlo; Spatial Autocorrelation; West Nile Virus; Sampling Distribution; Simple Random Sampling (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1007/978-3-540-24806-4_3

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